Diagnosis of Neoplasia in Endometrial Biopsies Book and Online Bundle: A Pattern-Based and Algorithmic Approach [With eBook]

ISBN-13: 9781107040434 / Angielski / Twarda / 2014

Oluwole Fadare;Vinita Parkash

Opis

With its unique algorithmic and pattern-based approach, Diagnosis of Neoplasia in Endometrial Biopsies is an essential practical guide to interpreting endometrial biopsy samples. All potential entities are classified based on the dominant histologic pattern, with each resulting sub-group progressively sub-classified to reach a diagnosis. Decision tree flowcharts facilitate rapid narrowing of the differential diagnosis. Recent advancements are discussed and explained, and strengths and limitations of diagnostic tests are identified in the context of their application to the biopsy sample. Lavishly illustrated throughout, this book serves the practising pathologist as a scope-side assistant for quick reference, up-to-date guidance, and recommendations for ancillary testing. For the resident, this book facilitates quick and comprehensive mastery of the interpretation and diagnosis of endometrial biopsies. The book is packaged with a password, giving the user online access to all the text and images.

Recenzje

'The book's tone is both descriptive and analytical. Given the title, every chapter has a plethora of flow charts and photomicrographs which, if indeed adhered to, will make life much easier for histopathologists reporting endometrial biopsies … [This book] should be considered as a valuable addition to the increasing number of bench books on uterine pathology.' The Bulletin of the Royal College of Pathologists

Spis treści

Preface; 1. General principles in the evaluation of endometrial samples; 2. Endometrial samples with roughly equal ratio of glands to stroma; 3. Lesions with epithelium to stroma ratio in excess of 1:1; 4. Purely epithelial proliferations (no significant stromal component); 5. Spindle cell and myxoid lesions; 6. Round cell lesions; 7. Epithelioid cell lesions; 8. Trophoblastic and gestational lesions; Index.